Evidence map›Paper›PMID 36712927›Full record

ArticlePNAS nexus2023

Moralized language predicts hate speech on social media.

Kirill Solovev, Nicolas Pröllochs

Erratum issuedAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Facing stress and inflammation: From the cell to the planet.World journal of experimental medicine · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Kirill SolovevJLU Giessen, Licher Straße 62, D-35394 Giessen, Germany.
Nicolas PröllochsJLU Giessen, Licher Straße 62, D-35394 Giessen, Germany.ORCID https://orcid.org/0000-0002-1835-7302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hate speech on social media threatens the mental health of its victims and poses severe safety risks to modern societies. Yet, the mechanisms underlying its proliferation, though critical, have remained largely unresolved. In this work, we hypothesize that moralized language predicts the proliferation of hate speech on social media. To test this hypothesis, we collected three datasets consisting of

Indexed as

hate speechmoralized languagesocial media

Identifiers

PMID36712927
PMCPMC9837664

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.